RosettaCommons / RosettaCommons/RFdiffusion
Error When Setup
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 3.1k
- Forks
- 644
- PR merge metrics
- No merged PRs in 30d
Description
installing RFdiffusion...
installing ColabDesign...
downloading RFdiffusion params...
/content/RFdiffusion/util.py:255: UserWarning: Using torch.cross without specifying the dim arg is deprecated.
Please either pass the dim explicitly or simply use torch.linalg.cross.
The default value of dim will change to agree with that of linalg.cross in a future release. (Triggered internally at ../aten/src/ATen/native/Cross.cpp:63.)
Z = torch.cross(Xn, Yn)
ModuleNotFoundError Traceback (most recent call last)
in
/content/RFdiffusion/inference/utils.py in
6 import torch
7 import torch.nn.functional as nn
----> 8 from diffusion import get_beta_schedule
9 from scipy.spatial.transform import Rotation as scipy_R
10 from util import rigid_from_3_points
1 frames
/content/RFdiffusion/util_module.py in
5 from opt_einsum import contract as einsum
6 import copy
----> 7 import dgl
8 from util import base_indices, RTs_by_torsion, xyzs_in_base_frame, rigid_from_3_points
9
ModuleNotFoundError: No module named 'dgl'
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Reproduce the Colab setup and start with inference/utils.py and util_module.py, where the traceback reaches the missing dgl import. Check the installation steps and dependency declarations mentioned by the setup, then verify that the same environment can import these modules without ModuleNotFoundError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, tooling
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100